🛠 Tech Stack

💼 About This Role

You'll design, build, and maintain training and serving infrastructure for ML research at a fast-growing AI company. You'll maximize GPU utilization and build tooling to diagnose cluster issues. Over 20 million users interact with our characters monthly.

🎯 What You'll Do

• Provide infrastructure support to ML research and product
• Build tooling to diagnose cluster issues and hardware failures
• Monitor deployments, manage experiments, and support research
• Maximize GPU allocation and utilization for serving and training

📋 Requirements

• 4+ years experience supporting ML infrastructure
• Experience developing tools to diagnose ML infrastructure problems
• Experience with cloud platforms like Compute Engine, Kubernetes, Cloud Storage
• Experience working with GPUs

✨ Nice to Have

• Experience with large GPU clusters and HPC/networking
• Experience supporting large language model training
• Experience with ML frameworks like PyTorch/TensorFlow/JAX